Boeing

Senior Enterprise Services - Business Intelligence Analyst

Boeing

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Illinois, Virginia, Washington

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Salary

💰 $119,850 - $187,450 per year

Job Level

Senior

Tech Stack

AWSAzureCloudCognosGoogle Cloud PlatformHadoopPythonSparkSQLTableau

About the role

  • Engage broadly with leaders within Service Towers (i.e. Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight) and functional partners to frame, structure, and prioritize business problems
  • Mine datasets to identify information & insights to answer key questions and highlight key indicators to drive actions
  • Find correlations between multiple disparate and complex data sets in various data platforms and represent their significance to the larger organization in simpler terms through presentations and stories
  • Create compelling reports, dashboards, and visualizations using BI tools to present complex data
  • Build and maintain data models to facilitate analysis and reporting; lead and manage ongoing maintenance, updating, and building of data reports
  • Build recurring reports, dashboards, and screens using various platforms: Cognos, Tableau, Microsoft BI, PowerPivot, Power Query
  • Work with extended business teams to build and map personas to critical KPIs used to understand business needs and identify relevant data points for analysis
  • Understand logic and data sources behind reports and analysis to find issues, inconsistencies, and solutions
  • Work with business leads and IT teams to build complex, detailed visual displays and stories out of data; Tell the story through graphs, diagrams, and data that drive actionable outcomes
  • Provide insights to understand and speak with various levels (from data analyst to VP) using data in a simple format
  • Work with the Data Management Office and Enterprise Services leadership team to help manage and implement data solutions as well as support data projects
  • Able to travel 20% domestically

Requirements

  • Bachelor's degree or higher in computer science, engineering, information technology, or a related discipline
  • 10+ years of experience in data analytics and/or business intelligence
  • 10+ years of experience in Business Intelligence/Data Analytics tools and applications (such as IBM Cognos Analytics, SQL, Tableau, Google Analytics)
  • 10+ years of experience working with Structured Query Language (SQL)
  • Experience in programming languages (Python)
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform)
  • Experience with big data technologies (e.g., Hadoop, Spark)